Literature DB >> 26976855

Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors.

Joseph L Usset1, Rama Raghavan1, Jonathan P Tyrer2, Valerie McGuire3, Weiva Sieh3, Penelope Webb4, Jenny Chang-Claude5, Anja Rudolph5, Hoda Anton-Culver6, Andrew Berchuck7, Louise Brinton8, Julie M Cunningham9, Anna DeFazio10, Jennifer A Doherty11, Robert P Edwards12, Simon A Gayther13, Aleksandra Gentry-Maharaj14, Marc T Goodman13, Estrid Høgdall15, Allan Jensen16, Sharon E Johnatty17, Lambertus A Kiemeney18, Susanne K Kjaer19, Melissa C Larson20, Galina Lurie21, Leon Massuger22, Usha Menon14, Francesmary Modugno23, Kirsten B Moysich24, Roberta B Ness25, Malcolm C Pike26, Susan J Ramus27, Mary Anne Rossing28, Joseph Rothstein3, Honglin Song2, Pamela J Thompson13, David J van den Berg27, Robert A Vierkant20, Shan Wang-Gohrke29, Nicolas Wentzensen8, Alice S Whittemore3, Lynne R Wilkens21, Anna H Wu27, Hannah Yang8, Celeste Leigh Pearce30, Joellen M Schildkraut31, Paul Pharoah32, Ellen L Goode20, Brooke L Fridley33.   

Abstract

BACKGROUND: Many epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene-environment interactions related to hormone-related risk factors could differ between obese and non-obese women.
METHODS: We considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case-control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed.
RESULTS: SNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10(-6)) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10(-5)). The most notable obesity-gene-hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10(-6)).
CONCLUSIONS: We have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2 Future work is needed to develop powerful statistical methods able to detect these complex interactions. IMPACT: Assessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780-90. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID： 26976855      PMCID： PMC4873330          DOI： 10.1158/1055-9965.EPI-15-1039

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN： 1055-9965            Impact factor:   4.254


  69 in total

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Review 3.  The proliferating role of insulin and insulin-like growth factors in cancer.

Authors:  Emily Jane Gallagher; Derek LeRoith
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4.  Talcum powder, chronic pelvic inflammation and NSAIDs in relation to risk of epithelial ovarian cancer.

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6.  Tubal ligation and risk of ovarian cancer subtypes: a pooled analysis of case-control studies.

Authors:  Weiva Sieh; Shannon Salvador; Valerie McGuire; Rachel Palmieri Weber; Kathryn L Terry; Mary Anne Rossing; Harvey Risch; Anna H Wu; Penelope M Webb; Kirsten Moysich; Jennifer A Doherty; Anna Felberg; Dianne Miller; Susan J Jordan; Marc T Goodman; Galina Lurie; Jenny Chang-Claude; Anja Rudolph; Susanne Krüger Kjær; Allan Jensen; Estrid Høgdall; Elisa V Bandera; Sara H Olson; Melony G King; Lorna Rodriguez-Rodriguez; Lambertus A Kiemeney; Tamara Marees; Leon F Massuger; Anne M van Altena; Roberta B Ness; Daniel W Cramer; Malcolm C Pike; Celeste Leigh Pearce; Andrew Berchuck; Joellen M Schildkraut; Alice S Whittemore
Journal:  Int J Epidemiol       Date:  2013-04       Impact factor: 7.196

7.  Recruitment of newly diagnosed ovarian cancer patients proved challenging in a multicentre biobanking study.

Authors:  Nyaladzi Balogun; Aleksandra Gentry-Maharaj; Eva L Wozniak; Anita Lim; Andy Ryan; Susan J Ramus; Jeremy Ford; Matthew Burnell; Martin Widschwendter; Sue F Gessler; Simon A Gayther; Ian J Jacobs; Usha Menon
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8.  Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk.

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9.  Genetic variation in insulin-like growth factor signaling genes and breast cancer risk among BRCA1 and BRCA2 carriers.

Authors:  Susan L Neuhausen; Sean Brummel; Yuan Chun Ding; Christian F Singer; Georg Pfeiler; Henry T Lynch; Katherine L Nathanson; Timothy R Rebbeck; Judy E Garber; Fergus Couch; Jeffrey Weitzel; Steven A Narod; Patricia A Ganz; Mary B Daly; Andrew K Godwin; Claudine Isaacs; Olufunmilayo I Olopade; Gail Tomlinson; Wendy S Rubinstein; Nadine Tung; Joanne L Blum; Daniel L Gillen
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10.  An integrated map of genetic variation from 1,092 human genomes.

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Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962
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  5 in total

Review 1.  Impact of Gene-Environment Interactions on Cancer Development.

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Journal:  Int J Environ Res Public Health       Date:  2020-11-03       Impact factor: 3.390

2.  A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variants.

Authors:  Sehee Kim; Miao Wang; Jonathan P Tyrer; Allan Jensen; Ashley Wiensch; Gang Liu; Alice W Lee; Roberta B Ness; Maxwell Salvatore; Shelley S Tworoger; Alice S Whittemore; Hoda Anton-Culver; Weiva Sieh; Sara H Olson; Andrew Berchuck; Ellen L Goode; Marc T Goodman; Jennifer Anne Doherty; Georgia Chenevix-Trench; Mary Anne Rossing; Penelope M Webb; Graham G Giles; Kathryn L Terry; Argyrios Ziogas; Renée T Fortner; Usha Menon; Simon A Gayther; Anna H Wu; Honglin Song; Angela Brooks-Wilson; Elisa V Bandera; Linda S Cook; Daniel W Cramer; Roger L Milne; Stacey J Winham; Susanne K Kjaer; Francesmary Modugno; Pamela J Thompson; Jenny Chang-Claude; Holly R Harris; Joellen M Schildkraut; Nhu D Le; Nico Wentzensen; Britton Trabert; Estrid Høgdall; David Huntsman; Malcolm C Pike; Paul D P Pharoah; Celeste Leigh Pearce; Bhramar Mukherjee
Journal:  Int J Cancer       Date:  2019-01-20       Impact factor: 7.396

3.  Retrospective Analyses of Psychological Distress and Defense Style Among Cancer Patients.

Authors:  Ciro Conversano; Mariagrazia Di Giuseppe; Mario Miccoli; Rebecca Ciacchini; Annarita Di Silvestre; Rosa Lo Sterzo; Angelo Gemignani; Graziella Orrù
Journal:  Clin Neuropsychiatry       Date:  2020-08

Review 4.  Gynecologic Cancer Risk and Genetics: Informing an Ideal Model of Gynecologic Cancer Prevention.

Authors:  Lauren C Tindale; Almira Zhantuyakova; Stephanie Lam; Michelle Woo; Janice S Kwon; Gillian E Hanley; Bartha Knoppers; Kasmintan A Schrader; Stuart J Peacock; Aline Talhouk; Trevor Dummer; Kelly Metcalfe; Nora Pashayan; William D Foulkes; Ranjit Manchanda; David Huntsman; Gavin Stuart; Jacques Simard; Lesa Dawson
Journal:  Curr Oncol       Date:  2022-06-30       Impact factor: 3.109

5.  Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Authors:  JooYong Park; Ji-Yeob Choi; Jaesung Choi; Seokang Chung; Nan Song; Sue K Park; Wonshik Han; Dong-Young Noh; Sei-Hyun Ahn; Jong Won Lee; Mi Kyung Kim; Sun Ha Jee; Wanqing Wen; Manjeet K Bolla; Qin Wang; Joe Dennis; Kyriaki Michailidou; Mitul Shah; Don M Conroy; Patricia A Harrington; Rebecca Mayes; Kamila Czene; Per Hall; Lauren R Teras; Alpa V Patel; Fergus J Couch; Janet E Olson; Elinor J Sawyer; Rebecca Roylance; Stig E Bojesen; Henrik Flyger; Diether Lambrechts; Adinda Baten; Keitaro Matsuo; Hidemi Ito; Pascal Guénel; Thérèse Truong; Renske Keeman; Marjanka K Schmidt; Anna H Wu; Chiu-Chen Tseng; Angela Cox; Simon S Cross; Irene L Andrulis; John L Hopper; Melissa C Southey; Pei-Ei Wu; Chen-Yang Shen; Peter A Fasching; Arif B Ekici; Kenneth Muir; Artitaya Lophatananon; Hermann Brenner; Volker Arndt; Michael E Jones; Anthony J Swerdlow; Reiner Hoppe; Yon-Dschun Ko; Mikael Hartman; Jingmei Li; Arto Mannermaa; Jaana M Hartikainen; Javier Benitez; Anna González-Neira; Christopher A Haiman; Thilo Dörk; Natalia V Bogdanova; Soo Hwang Teo; Nur Aishah Mohd Taib; Olivia Fletcher; Nichola Johnson; Mervi Grip; Robert Winqvist; Carl Blomqvist; Heli Nevanlinna; Annika Lindblom; Camilla Wendt; Vessela N Kristensen; Rob A E M Tollenaar; Bernadette A M Heemskerk-Gerritsen; Paolo Radice; Bernardo Bonanni; Ute Hamann; Mehdi Manoochehri; James V Lacey; Maria Elena Martinez; Alison M Dunning; Paul D P Pharoah; Douglas F Easton; Keun-Young Yoo; Daehee Kang
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639
  5 in total

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